SENTIMENT ANALYSIS OF TWITTER DATA ON THE HINDI LANGUAGE

Authors

  • Ms. Madhuri Thorat Author
  • Sanket Bhadale Author
  • Santosh Biradar Author
  • Mansur Mujawar Author
  • Faizan Pathan Author

Abstract

Brands yearn to decode customer whispers and shouts on the bustling streets of Twitter. Sentiment analysis acts as a magic decoder ring, unlocking the emotions behind every tweet. This powerful tool reveals areas of delight, discontent, and apathy, guiding brands towards data-driven decisions. It's a swift shield against online storms, helping brands steer clear of negativity and amplify positive buzz. Embrace the whispers, understand the roar, and watch your brand soar.

Published

2024-01-01

Issue

Section

Articles

How to Cite

SENTIMENT ANALYSIS OF TWITTER DATA ON THE HINDI LANGUAGE. (2024). International Journal of Food and Nutritional Sciences, 13(2), 14-23. https://www.ijfans.org/index.php/Journal/article/view/1452